About kiddom kiddom is a groundbreaking educational platform that promotes student equity and growth by uniting high-quality instructional materials with dynamic digital learning. Through unparalleled curriculum management functionality, kiddom empowers schools and districts to take ownership of their curriculum – resulting in learning experiences tailored to meet the unique needs and goals of local communities. Kiddom's high-quality curriculum is layered with robust teacher and leader data insights to drive the continuous improvement of instructional decisions, school/district programming, and professional learning.
we're seeking a senior full stack engineer to join our power rangers "superhero" team – one of three elite teams focused on building transformative features for end users. This is a hands-on technical role where you'll turn ambitious visions into reality, working on user-facing projects that leverage cutting-edge technologies including ai and llms.you'll be part of a small, agile team of 3-4 engineers building features that directly impact educators and students. This isn't just another full-stack role – it's an opportunity to dive deep into complex technical challenges while seeing your work make a real difference in education.
build end-to-end solutions from react/typescript frontends to golang and python backend servicesdive into hard problems across the full technology stack without hesitationlead project initiatives as the technical owner of one or more high-impact user-facing features7+ years of professional software development experience~ strong golang or python expertise with the ability to design, build, and maintain backend services~ modern react and typescript proficiency with understanding of current patterns and best practices (at least 3 years)~ database experience with postgresql, mysql, and redis~ full-stack mindset with willingness to work across the entire technology stack~ advanced english proficiency (b2–c1 or higher)
ci/cd pipeline experience with github actions or similar toolsaws ecosystem familiarity, including lambda, ecs, rds, and containerized applications (k8s)experience working with ai/llm and machine learning toolsets.
flex pto for any reason, including sick days (no specified limits), flexible work schedule.budget for english lessons.
kindly submit your application and cv in english.